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1.
JMIR Public Health Surveill ; 8(7): e34277, 2022 07 14.
Article in English | MEDLINE | ID: covidwho-1974490

ABSTRACT

BACKGROUND: Improving the health self-management level of patients with tuberculosis (TB) is significant for reducing drug resistance, improving the cure rate, and controlling the prevalence of TB. Mobile health (mHealth) interventions based on behavioral science theories may be promising to achieve this goal. OBJECTIVE: This study aims to explore and conduct an mHealth intervention based on the Integrated Theory of Health Behavior Change (ITHBC) in patients with pulmonary TB to increase their ability of self-care management. METHODS: A prospective randomized controlled study was conducted from May to November 2020. A total of 114 patients who were admitted consecutively to the TB clinic of Harbin Chest Hospital, China from May 2020 to August 2020 were recruited by convenience sampling. Patients were divided into the control group and intervention group, and all received a 3-month intervention. Patients in the intervention group and the control group received routine medical and nursing care in the TB clinic, including the supervision of their medications. In addition, pharmacist-assisted mHealth (WeChat) intervention based on the ITHBC theory about TB management was provided to the intervention group. The primary outcome was self-management behavior, while the secondary outcomes were TB awareness, self-efficacy, social support, and degree of satisfaction with health education. The outcomes were measured using web-based self-designed and standard questionnaires administered at baseline and at the end point of the study. Intergroup data were assessed using the Mann-Whitney U test, whereas intragroup data were assessed with the Wilcoxon test (for paired samples). RESULTS: A total of 112 patients (59 in intervention group and 53 in control group) completed the study. After the intervention, a statistically significant increase was noted in the scores of each item of self-care management behaviors compared with the scores at the baseline (P<.001) in the intervention group. The scores of all self-care management behaviors of the control group were lower than those of all self-care management behaviors in the intervention group (all P<.05), except for the item "cover your mouth and nose when coughing or sneezing" (P=.23) and item "wash hands properly" (P=.60), which had no statistically significant difference from those in the intervention group. Compared with those at baseline, TB knowledge awareness, self-efficacy, social support, and degree of satisfaction with health education in the intervention group increased significantly (P<.001), and the intervention group had significantly higher scores than the control group (P<.001). CONCLUSIONS: mHealth intervention for TB self-management based on ITHBC could deepen the understanding of patients with TB about their disease and improve their objective initiative and self-care management behaviors, which were beneficial for promoting compliance behavior and quality of prevention and control for pulmonary TB. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR2200055557; https://tinyurl.com/4ray3xnw.


Subject(s)
Self-Management , Telemedicine , Tuberculosis, Pulmonary , Health Behavior , Humans , Life Course Perspective , Prospective Studies , Tuberculosis, Pulmonary/therapy
2.
J Korean Med Sci ; 37(3): e20, 2022 Jan 17.
Article in English | MEDLINE | ID: covidwho-1635488

ABSTRACT

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic caused disruptions to healthcare systems, consequently endangering tuberculosis (TB) control. We investigated delays in TB treatment among notified patients during the first wave of the COVID-19 pandemic in Korea. METHODS: We systemically collected and analyzed data from the Korea TB cohort database from January to May 2020. Groups were categorized as 'before-pandemic' and 'during-pandemic' based on TB notification period. Presentation delay was defined as the period between initial onset of symptoms and the first hospital visit, and healthcare delay as the period between the first hospital visit and anti-TB treatment initiation. A multivariate logistic regression analysis was performed to evaluate factors associated with delays in TB treatment. RESULTS: Proportion of presentation delay > 14 days was not significantly different between two groups (48.3% vs. 43.7%, P = 0.067); however, proportion of healthcare delay > 5 days was significantly higher in the during-pandemic group (48.6% vs. 42.3%, P = 0.012). In multivariate analysis, the during-pandemic group was significantly associated with healthcare delay > 5 days (adjusted odds ratio = 0.884, 95% confidence interval = 0.715-1.094). CONCLUSION: The COVID-19 pandemic was associated with healthcare delay of > 5 days in Korea. Public health interventions are necessary to minimize the pandemic's impact on the national TB control project.


Subject(s)
COVID-19/epidemiology , Delayed Diagnosis/statistics & numerical data , Time-to-Treatment/statistics & numerical data , Tuberculosis, Pulmonary/therapy , COVID-19/therapy , Cross-Sectional Studies , Delivery of Health Care/statistics & numerical data , Humans , Pandemics , Republic of Korea/epidemiology , SARS-CoV-2 , Tuberculosis, Pulmonary/diagnosis
5.
Tuberculosis (Edinb) ; 126: 102020, 2021 01.
Article in English | MEDLINE | ID: covidwho-926650

ABSTRACT

Tuberculosis (TB) and coronavirus disease 2019 (COVID-19) are currently the two main causes of death among infectious diseases. There is an increasing number of studies trying to elucidate the interactions between Mycobacterium tuberculosis and SARS-CoV-2. Some of the first case reports point to a worsening of respiratory symptoms in co-infected TB/COVID-19 individuals. However, data from the cohort studies has shown some conflicting results. This study proposes to conduct a systematic review on the current literature on TB/COVID-19 co-infection cohorts, evaluating clinical and epidemiological data, focusing on its implications to the immune system. From an immunological perspective, the TB/COVID-19 co-infection has the potential to converge in a "perfect storm". The disorders induced by each pathogen to the immunomodulation tend to induce an unbalanced inflammatory response, which can promote the progression and worsening of both diseases. Understanding the nature of the interactions between M. tuberculosis and SARS-CoV-2 will be crucial for the development of therapeutic strategies against co-infection.


Subject(s)
COVID-19/virology , Inflammation Mediators/immunology , Lung/microbiology , Mycobacterium tuberculosis/pathogenicity , SARS-CoV-2/pathogenicity , Tuberculosis, Pulmonary/microbiology , Animals , COVID-19/epidemiology , COVID-19/immunology , COVID-19/therapy , Coinfection , Disease Progression , Host-Pathogen Interactions , Humans , Lung/immunology , Lung/virology , Mycobacterium tuberculosis/immunology , Prognosis , SARS-CoV-2/immunology , Signal Transduction , Tuberculosis, Pulmonary/epidemiology , Tuberculosis, Pulmonary/immunology , Tuberculosis, Pulmonary/therapy
8.
Int J Infect Dis ; 101: 102-106, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-764785

ABSTRACT

OBJECTIVES: To investigate the pattern of tuberculosis (TB) care initiation and risk factors for TB diagnostic delay in The Gambia. METHODS: In this cross-sectional study, adult patients diagnosed with pulmonary TB (pTB) in public facilities in the Greater Banjul Area of The Gambia were consecutively recruited from October 2016 to March 2017. Diagnostic delay was defined as >21 days from the onset of at least one symptom suggestive of pTB to diagnosis. Logistic regression analyses were used to investigate risk factors for diagnostic delay. RESULTS: Overall, 216 pTB patients were included in the study; the median (Interquartile Range (IQR)) age was 30 (23-39) years and 167 (77%) were male patients. Of the 216 patients, 110 (50.9%) of them initiated care-seeking in the formal and informal private sector and 181/216 (83.8%) had TB diagnostic delay. The median (IQR) duration from the onset of symptoms to TB diagnosis was 34 (28-56) days. Age groups 18-29 years (aOR 3.2; 95% CI 1.2-8.8 [p = 0.02]) and 30-49 years (aOR 5.1; 95% CI 1.6-16.2 [p = 0.006]) and being employed (aOR 4.2; 95% CI 1.7-10.5 [p = 0.002]) were independent risk factors for TB diagnostic delay. CONCLUSION: There is considerable TB diagnostic delay in The Gambia, and this is likely to be worsened by the COVID-19 pandemic.


Subject(s)
Delayed Diagnosis , Tuberculosis, Pulmonary/diagnosis , Adolescent , Adult , Aged , COVID-19/epidemiology , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Patient Acceptance of Health Care , SARS-CoV-2 , Tuberculosis, Pulmonary/therapy , Young Adult
15.
Am J Trop Med Hyg ; 103(4): 1597-1599, 2020 10.
Article in English | MEDLINE | ID: covidwho-725412

ABSTRACT

COVID-19, designated as SARS-CoV-2, has caused millions of infections worldwide, including in patients with concomitant infections. Here, we report two unusual cases of patients with triple infections of SARS-CoV-2, Mycobacterium tuberculosis, and HIV. Both cases were confirmed through microbiological and immunological studies. The acute respiratory phase in both patients was treated with supplemental oxygen. Antituberculosis and antiretroviral therapies were started simultaneously. In 2 weeks, both patients demonstrated clinical improvement and recovery from COVID-19. Our findings suggest that even in cases of triple infection, clinical management together with respiratory therapy contributes to patient survival.


Subject(s)
Antitubercular Agents/therapeutic use , Antiviral Agents/therapeutic use , Coronavirus Infections/therapy , HIV Infections/therapy , Heparin/therapeutic use , Hydroxychloroquine/therapeutic use , Pneumonia, Viral/therapy , Tuberculosis, Pulmonary/therapy , Adult , Betacoronavirus/pathogenicity , COVID-19 , Coinfection , Convalescence , Coronavirus Infections/immunology , Coronavirus Infections/microbiology , Coronavirus Infections/virology , HIV/pathogenicity , HIV Infections/immunology , HIV Infections/microbiology , HIV Infections/virology , Humans , Male , Middle Aged , Mycobacterium tuberculosis/pathogenicity , Pandemics , Pneumonia, Viral/immunology , Pneumonia, Viral/microbiology , Pneumonia, Viral/virology , Positive-Pressure Respiration/methods , SARS-CoV-2 , Tuberculosis, Pulmonary/immunology , Tuberculosis, Pulmonary/microbiology , Tuberculosis, Pulmonary/virology
16.
Monaldi Arch Chest Dis ; 90(3)2020 Jul 22.
Article in English | MEDLINE | ID: covidwho-665524

ABSTRACT

Disease associated with SARS-CoV-2 also termed as Coronavirus disease 2019 or COVID-19, has become a potential threat to public health by spreading across more than 200 countries worldwide within a short span of time. Tuberculosis (TB) is already existing as unprecedented pandemic worldwide over several years. Both diseases have many overlapping features but there are striking differences too. There is usually chronicity of symptoms in TB as compared to acute or rapid progression in COVID-19. Little evidence exists regarding TB and COVID-19 coinfection. It is anticipated that person with TB either in active, previously treated or latent forms are more at risk of poor outcomes with COVID-19. The relationship between the two diseases is still unclear at present, and more studies are needed to enable analyses of interactions and determinants of outcomes in patients affected by both the diseases. Most of the countries across the world imposed nationwide lockdown to promote social distancing, which is one important preventive measure to mitigate the spread of COVID-19 pandemic. However, it becomes quite challenging to ensure smooth functioning of programmatic services, leading to disruption of routine TB care, leading to transmission of infection. Health authorities should frame polices that can support TB patients by providing diagnostic, management and prevention services without any interruption during this era of ongoing COVID-19 pandemic. Effort should be made to control both the diseases simultaneously and avoid unfavourable outcome in near future.


Subject(s)
Coronavirus Infections/epidemiology , Pneumonia, Viral/epidemiology , Tuberculosis, Pulmonary/epidemiology , COVID-19 , Coinfection , Coronavirus Infections/prevention & control , Humans , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , Tuberculosis, Pulmonary/prevention & control , Tuberculosis, Pulmonary/therapy
17.
S Afr Med J ; 110(5): 341-342, 2020 03 27.
Article in English | MEDLINE | ID: covidwho-380142
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